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Theoretical Computer Science
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Theoretical Computer Science
Article . 2009
License: Elsevier Non-Commercial
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Theoretical Computer Science
Article . 2009 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
https://doi.org/10.1007/117869...
Part of book or chapter of book . 2006 . Peer-reviewed
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On the Complexity of 2D Discrete Fixed Point Problem

Authors: Xi Chen; Xiaotie Deng;

On the Complexity of 2D Discrete Fixed Point Problem

Abstract

AbstractWe study a computational complexity version of the 2D Sperner problem, which states that any three coloring of vertices of a triangulated triangle, satisfying some boundary conditions, will have a trichromatic triangle. In introducing a complexity class PPAD, Papadimitriou [C.H. Papadimitriou, On graph-theoretic lemmata and complexity classes, in: Proceedings of the 31st Annual Symposium on Foundations of Computer Science, 1990, 794–801] proved that its 3D analogue is PPAD-complete about fifteen years ago. The complexity of 2D-SPERNER itself has remained open since then.We settle this open problem with a PPAD-completeness proof. The result also allows us to derive the computational complexity characterization of a discrete version of the 2D Brouwer fixed point problem, improving a recent result of Daskalakis, Goldberg and Papadimitriou [C. Daskalakis, P.W. Goldberg, C.H. Papadimitriou, The complexity of computing a Nash equilibrium, in: Proceedings of the 38th Annual ACM Symposium on Theory of Computing (STOC), 2006]. Those hardness results for the simplest version of those problems provide very useful tools to the study of other important problems in the PPAD class.

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Theoretical Computer Science, Computer Science(all)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Top 10%
Top 10%
Top 10%
hybrid